Vetted Data Visualization Professionals

“UX/product designer with deep healthcare and mission-critical software experience across 3M Healthcare, GE Healthcare, and Motorola. Has designed complex lab automation and radiology workflows end-to-end, combining rigorous field research with hands-on engineering (HTML/CSS/TypeScript/React, Storybook) and even building live prototypes (Firebase + Angular) and production-ready UI control libraries to ship.”

“Integration Management Office professional focused on M&A integration and human capital work, coordinating integration planning across 17 workstreams through deal close. Partners closely with executives (including a CHRO) by building practical tools like Excel workforce planning dashboards and establishing governance/SteerCo cadences, while operating with strong sign-to-close discretion and data privacy compliance.”

“Qualcomm engineer building Android applications that run on Qualcomm AI accelerators, with hands-on experience in C++ concurrency, chipset stress testing, and power/performance tuning. Has deployed on-device AI models and built deployment/log post-processing workflows using Docker/Kubernetes and CI/CD; interested in translating this embedded AI/performance background into robotics (perception/real-time systems).”

“Robotics-focused candidate who built core software for a ROS2 pick-and-place arm that sorted colored cubes using an overhead camera and an AI color-recognition model. They owned arm modeling in ROS, motion logic (coordinate-to-IK-to-joint paths), and created a data-driven linear error-correction calibration to mitigate camera/AI coordinate bias, plus tuned motion speed to improve real-world repeatability.”

“Talent/People Operations leader who has managed 5–8 person teams and repeatedly rebuilt recruiting operations in high-volume, fast-growth environments. Known for implementing structured intake, interview SOPs/SLAs, and rubric-based evaluation inside ATS/HRIS systems—cutting time-to-fill from 30+ days to under 20—while also leading enterprise-wide systems rollouts like Lattice with strong cross-functional change management.”

“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”

“Engineering leader who managed a 20-person cross-functional team building customer-driven software solutions, delivering a 50% reduction in simulation/test lifecycle and securing a long-term strategic SLA. Strong in scalable data ingestion architectures (FastAPI + Kafka + multiprocess workers), operational diagnostics (correlation IDs/centralized logging), and microservice decoupling for analytics/visualization. Active open-source contributor who shipped a NATS bug fix and improved SDK onboarding with automation that cut ramp time by 30%.”

“Backend-focused engineer with hands-on experience modernizing a legacy SNMP/PNM data collection system at CableLabs into a cloud-accessible Kubernetes pipeline, feeding Prometheus-formatted metrics into VictoriaMetrics and visualizing real-time network health in Grafana for 100+ modems. Also built a FastAPI + Supabase appointment booking portal for a clinic with encryption and phone-number-based auth, and has frontend experience debugging S3-based HEIF image rendering issues.”

“Cloud/platform engineering lead with deep Azure AKS and SRE/observability expertise who migrated an EY enterprise SaaS platform from monolith to cloud-native microservices, supporting 10+ products and ~$200M annual revenue with ~99.9% uptime. Also building an open-source Kubernetes-native AI agent orchestration platform (AgScale) in Go with CRDs/controllers, policy/tool governance, token budgets, and production-grade monitoring.”